scholarly journals The Relationship Between Metabolic Syndrome with Incidence of Stroke

2016 ◽  
Vol 4 (1) ◽  
pp. 25
Author(s):  
Fila Fatmisua Chrisna ◽  
Santi Martini
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Abdominal Obesity ◽  
Significant Relationship ◽  
Fasting Glucose ◽  
Hdl Cholesterol ◽  
Glucose Levels ◽  
The Third ◽  
The Metabolic Syndrome ◽  
The Relationship

ABSTRACT Stroke is one of non-communicable diseases and affected by many risk factors. Some stroke risk factors have in common with the metabolic syndrome criteria, such as abdominal obesity, glucose intolerance, decreased HDL cholesterol, elevated triglyceride levels, and insulin resistance. The goals to analyze the relationship between the metabolic syndrome with the incidence of stroke. This research is analytic by using case-control design. The case groups were hospitalized patients of stroke and undergoing inpatient in dr. M. Soewandhie Surabaya. The case groups were 32 peoples and control group 32 peoples were selected at random. The variables studied were age, sex, metabolic syndrome, the first criteria, the second criteria of metabolic syndrome, and the third criteria of metabolic syndrome. The results showed that the majority of stroke patients in the age range 51-75 years (78%). Results of Chi-Square test indicates a significant relationship between the metabolic syndrome criteria first (abdominal obesity, triglycerides, and HDL cholesterol levels) p = 0,01 OR = 6,82 (95% CI = 1,23 to 68,17 ) and the second criteria of metabolic syndrome (HDL cholesterol, blood pressure, and fasting glucose levels) p= 0,007 OR = 5,80 (95% CI = 1,30 to 35,15) with the incidence of stroke. While for the third criteria of metabolic syndrome (fasting glucose levels, abdominal obesity, triglyceride  levels) there was no significant relationship to the incidence of stroke. It is expected for people, especially over the age of 35 years can do a lipid profile and circle abdominal measurements to detect of   metabolic syndrome and the risk of stroke. Keywords: Metabolic Syndrome, Stroke, Abdominal Obesity, Triglyceride, HDL

scholarly journals The Relationship Between Metabolic Syndrome with Incidence of Stroke

2016 ◽  
Vol 4 (1) ◽  
pp. 25
Author(s):  
Fila Fatmisua Chrisna ◽  
Santi Martini
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Abdominal Obesity ◽  
Significant Relationship ◽  
Fasting Glucose ◽  
Hdl Cholesterol ◽  
Glucose Levels ◽  
The Third ◽  
The Metabolic Syndrome ◽  
The Relationship

Stroke is one of non-communicable diseases and affected by many risk factors. Some stroke risk factors have in common with the metabolic syndrome criteria, such as abdominal obesity, glucose intolerance, decreased HDL cholesterol, elevated triglyceride levels, and insulin resistance. The goals to analyze the relationship between the metabolic syndrome with the incidence of stroke. This research is analytic by using case-control design. The case groups were hospitalized patients of stroke and undergoing inpatient in dr. M. Soewandhie Surabaya. The case groups were 32 peoples and control group 32 peoples were selected at random. The variables studied were age, sex, metabolic syndrome, the first criteria, the second criteria of metabolic syndrome, and the third criteria of metabolic syndrome. The results showed that the majority of stroke patients in the age range 51-75 years (78%). Results of Chi-Square test indicates a significant relationship between the metabolic syndrome criteria first (abdominal obesity, triglycerides, and HDL cholesterol levels) p = 0,01 OR = 6,82 (95% CI = 1,23 to 68,17 ) and the second criteria of metabolic syndrome (HDL cholesterol, blood pressure, and fasting glucose levels) p= 0,007 OR = 5,80 (95% CI = 1,30 to 35,15) with the incidence of stroke. While for the third criteria of metabolic syndrome (fasting glucose levels, abdominal obesity, triglyceride  levels) there was no significant relationship to the incidence of stroke. It is expected for people, especially over the age of 35 years can do a lipid profile and circle abdominal measurements to detect of   metabolic syndrome and the risk of stroke.Keywords: Metabolic Syndrome, Stroke, Abdominal Obesity, Triglyceride, HDL

scholarly journals Association of Serum Adiponectin Levels with Metabolic Syndrome Risk Factors in Malay Adults

2017 ◽  
Vol 1 (1) ◽  
pp. 17
Author(s):  
Nur Firdaus Isa ◽  
Laila Ruwaida Mohd Zainuddin ◽  
Wan Manan Wan Muda ◽  
Hamid Jan B. Jan Mohamed
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Adiponectin Level ◽  
Hdl Cholesterol ◽  
Serum Adiponectin ◽  
Biochemical Tests ◽  
The Metabolic Syndrome ◽  
Overnight Fasting ◽  
Serum Adiponectin Concentration ◽  
The Relationship

Introduction: This study aimed to investigate the relationship between serum adiponectin and metabolic syndrome in adults living in rural Malaysia.Methods: A total of 299 Malay adults (men=124; women = 175) with a mean age 48.8 (11.7) years were recruited. Measurements for waist circumference and blood pressure were taken before drawing an overnight fasting blood samples. Biochemical tests for triglycerides, HDL cholesterol, glucose and serum adiponectin concentration were measured.Results: Our results show that the adiponectin level in the subjects with metabolic syndrome was significantly lower than those without metabolic syndrome (p < 0.05). Among the metabolic syndrome risk factors, adiponectin level was significantly associated with hypertriglyceridemia and reduced HDL cholesterol (p < 0.001).Conclusion: The outcome from this study which highlights the association of hypoadiponectinemia with risk factors of metabolic syndrome in Malay adults, suggests that the reduced level of adiponectin may play a pivotal role in the development of metabolic syndrome in this ethnic group.

Association between Patients with Metabolic Syndrome and Other Various Factors Defining Metabolic Syndrome: A Cross-Sectional Study

2021 ◽  
Vol 8 (4) ◽  
pp. 12-17
Author(s):  
Basavaraj PG ◽  
Ashok P Yenkanchi ◽  
Chidanand Galagali
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Cardiovascular Diseases ◽  
Abdominal Obesity ◽  
Positive History ◽  
The Metabolic Syndrome ◽  
Study Results ◽  
History Of ◽  
The Mean

Background: Risk factors can lead to clinical conditions, like metabolic syndrome, that predisposes the development of cardiovascular diseases. Objective: The goal of this population-based, prospective and non-randomised cohort study was to study the association between patients with metabolic syndrome and other various factors defining metabolic syndrome. Methods: All the patients referred to the department of Medicine, Al-Ameen Medical college hospital and District Hospital, Vijayapur, Karnataka, India over a period of twenty-two months extending from December 2013 to September 2015 were considered in this study. Results: In the current study, out of 100 patients, 62.9% patients had metabolic syndrome with positive family history of hypertension, diabetes mellitus. 70.8% patients had metabolic syndrome with positive history of smoking. 64.3% patients had metabolic syndrome with positive history of alcohol .73.9% patients had metabolic syndrome with positive history of IHD. 87% of the patients with metabolic syndrome had SBP> 130 mmHg, and 78.85% patients had DBP>85 mmHg. And metabolic syndrome was observed in 71.8% patients on anti hypertensive drugs. The mean level of total cholesterol, LDL cholesterol, triglyceride is increased whereas the mean level of anti-atherogenic HDL cholesterol is low in subjects with MS. At least one lipid abnormality was present in > 95 % of cases. Around 81% subjects with BMI <25 (out of 38) had metabolic syndrome and 58% subjects with BMI>25(out of 62) had metabolic syndrome. Conclusion: All the components defining the metabolic syndrome correlated positively with the abdominal obesity. Systolic blood pressure values were significantly higher than diastolic blood pressure in subjects with abdominal obesity. Metabolic syndrome has multiple risk factors determined by various aspects like the race, the life style, geographical factors larger study is needed to understand the correlation between various components defining it. A healthy lifestyle, that includes avoiding tobacco exposure and proper weight control, must be encouraged in this high-risk population. Keywords: Cardiovascular diseases; Overweight; Risk factors; Smoking.

Abstract P033: Relationship Between Adiponectin Level and Metabolic Syndrome after Weight Loss in Patients with Abdominal Obesity

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Aelita Berezina ◽  
Olga Belyaeva ◽  
Olga Berkovich ◽  
Elena Baranova ◽  
Tatyina Karonova
Keyword(s):  
Metabolic Syndrome ◽  
Weight Loss ◽  
Abdominal Obesity ◽  
Metabolic Disorders ◽  
Intervention Program ◽  
Adiponectin Level ◽  
The Metabolic Syndrome ◽  
Outpatient Intervention ◽  
Before And After ◽  
The Relationship

Objective: to investigate the relationship between adiponectin level and metabolic syndrome (MS) after weight loss in patients with abdominal obesity (AO). Method: A 3-year randomized lifestyle intervention trial performed in 153 patients with AO, age 43,2±0,8 yrs, BMI 32,1±1,9 kg/m 2 . 74 patients keep hypocaloric diet (gr.1), 79 patients keep diet and performed aerobic exercise (gr.2). Adiponectin concentration, body mass (BM), waist circumference (WC), body fat (BF), BMI, the levels of BP, glucose, insulin, HOMA-IR, TC, HDL-C, LDL-C, TG, CRP were measured before and after a 3-years outpatient intervention program. Results. 100% patients with AO had some metabolic disorders and 38% had MS before the treatment. The adiponectin levels and others parameters didn’t differ between the groups before intervention (p>0,05). In 3 years 53 (71,6%) and 58 (73,4%) patients from 1 and 2 groups reduced weight. The rate of improving BM, BMI, BF, WC, HDL-C, TG and insulin was grater in patients gr.2 (p<0,05). The favorable dynamics of MS (MS didn’t appeared at the end of study or didn’t registered in patients who had it before) didn’t differ between the groups 1 and 2 (81,1% and 91,4%, p>0,05). The increasing of adiponectin level occurred more often in patients gr.2, than gr.1 (93,1% and 58,5%, p=0,001, respectively). Adiponectin level increased only in patients gr.2 (18,0±1,1mcg/ml and 23,8±1,3 mcg/ml, p= [[Unable to Display Character: &#1088;]]=0,0001), didn’t changed in gr.1 (p>0,05). It was established that in patients with combination of weight loss and increasing of adiponectin level favorable dynamics of MS occurred more often than in patients who lost weight without increasing of adiponectin level (91,7% and 69,2%, p=0,0001). In patients with favorable dynamics of MS increasing of adiponectin level had met more often, than in patients with unfavorable dynamics of MS (MS continued or appeared) (88,6% and 11,4%, p=0,0001). Increasing of adiponectin level associated with positive dynamics of the MS - OR=9,1 (4,0-20,6). Conclusion. Combination of weight loss and increasing of adiponectin level associated with favorable dynamics of the metabolic syndrome.

scholarly journals Heritability of the risk factors characteristic for the metabolic syndrome: a twin study

2011 ◽  
Vol 152 (32) ◽  
pp. 1265-1271 ◽  
Author(s):  
György Jermendy ◽  
Levente Littvay ◽  
Rita Steinbach ◽  
Ádám Jermendy ◽  
Ádám Tárnoki ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Environmental Factors ◽  
Fasting Blood Glucose ◽  
Hdl Cholesterol ◽  
Anthropometric Parameters ◽  
Serum Triglycerides ◽  
The Metabolic Syndrome ◽  
Genetic And Environmental Factors

Both genetic and environmental factors play role in the pathogenesis of the metabolic syndrome. The magnitude of genetic and environmental influences on the components of metabolic syndrome may vary in different populations. Aims: The present study was aimed to determine the effects of genetic and environmental factors on risk factors characteristic for the metabolic syndrome. Methods: A total of 101 (63 monozygotic and 38 dizygotic) adult twin pairs (n = 202; mean age: 43.3±15.8 years) were investigated. Medical history was recorded and physical examination was carried out for each subject. Fasting venous blood samples were used for measuring laboratory parameters. The presented estimates include the heritability structural equation (A-C-E) model results. In Model-1, all presented parameters are age- and gender- corrected. In Model-2, parameters were corrected for age, gender, body mass index and waist circumference. Results: Heritability in waist circumference (as well as in other anthropometric parameters such as weight and height) was high (Model-1: 71.0–88.1%). Similarly, genetic factors had the highest proportion of total phenotypic variance in systolic and diastolic blood pressure (Model-2: 57.1% and 57.7%, respectively). Based on the results of Model-2, unique environmental factors dominate alterations in serum triglycerides values (55.9%) while shared environmental factors proved to be substantial in alterations of HDL-cholesterol and fasting blood glucose values (58.1% and 57.1%, respectively). Comparing the results of Model-1 and Model-2, the difference in A-C-E model varied from 0.0% to 17.1%, indicating that only a minor proportion of genetic and environmental influences can be explained by the effects of anthropometric parameters. Conclusions: Among adult Hungarian healthy people, genetic factors have substantial influence on waist circumference and blood pressure values while environmental factors dominate alterations in serum triglycerides, HDL-cholesterol and fasting blood glucose values. The different heritability of individual risk factors challenges the original unifying concept of the metabolic syndrome. The results may be useful for establishing and implementing primary cardiovascular prevention both at individual and population levels. Orv. Hetil., 2011, 152, 1265–1271.

Abstract MP19: Higher Parity is Associated With Components of the Metabolic Syndrome Among U.S. Hispanic/Latina Women: Results From the HCHS/SOL Study

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Catherine J Vladutiu ◽  
Anna Maria Siega-Riz ◽  
Alison M Stuebe ◽  
Daniela Sotres-Alvarez ◽  
Andy Ni ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Abdominal Obesity ◽  
Hispanic Women ◽  
Hdl Cholesterol ◽  
Latina Women ◽  
Live Births ◽  
The Metabolic Syndrome ◽  
Elevated Glucose ◽  
Low Hdl

Background: Physiologic adaptations occurring across successive pregnancies may increase the risk of adverse cardiovascular health outcomes in later life. Previous studies have found an association between higher parity and the metabolic syndrome (MetS). However, no studies have examined this association in a Hispanic/Latina population. Hispanic women have a higher prevalence of the MetS and higher birth rates than non-Hispanic women. Hypothesis: We assessed the hypothesis that higher parity is associated with the prevalence of components of the MetS in a cohort of Hispanic/Latina women. Methods: There were 9,482 Hispanic/Latina women of diverse backgrounds, aged 18-74 years, who participated in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) from 2008-2011. Components of the MetS were defined according to the AHA/NHLBI criteria and included abdominal obesity (waist circumference ≥88cm), elevated triglycerides (≥150 mg/dL), low HDL cholesterol (<50mg/dL), high blood pressure (systolic ≥130mmHg or diastolic ≥85mmHg or on medication), and elevated fasting glucose (≥100mg/dL or on medication). Logistic regression models were used to estimate odds ratios for the association between parity and components of the MetS, adjusting for sociodemographic, behavioral, and reproductive characteristics, and accounting for the complex survey design and sampling weights. Results: At HCHS/SOL baseline, women reported none (19.2%), one (18.9%), two (25.3%), three (19.7%), four (9.3%), and five or more (7.6%) prior live births. Compared to women with only one live birth, women with four live births had the highest odds of abdominal obesity (OR=2.5, 95% CI 1.8, 3.3) and those with five or more live births had the highest odds of low HDL cholesterol (OR=1.5, 95% CI 1.2, 1.9), elevated glucose (OR=1.8, 95% CI 1.3, 2.3), elevated triglycerides (OR=1.4, 95% CI 1.01, 1.8), and high blood pressure (OR=1.5, 95% CI 1.1, 2.0), after adjusting for age, Hispanic background, education, marital status, income, nativity, smoking, physical activity, menopause status, oral contraceptive use, hormone replacement therapy, and field center. Further adjustment for body mass index attenuated these associations for all MetS components, including abdominal obesity (OR=1.5, 95% CI 1.1, 2.2), low HDL cholesterol (OR=1.3, 95% CI 1.03, 1.7), and elevated glucose (OR=1.6, 95% CI 1.2, 2.1), but the associations for triglycerides and blood pressure were no longer statistically significant. Conclusion: Higher parity is associated with the prevalence of selected components of the MetS among U.S. Hispanic/Latina women. High parity among Latinas with a high prevalence of abdominal obesity suggests a context of high risk for metabolic dysregulation. A better characterization of the links between pregnancy, adiposity, and body fat distribution is needed.

scholarly journals Poor breakfast habits in adolescence predict the metabolic syndrome in adulthood

2014 ◽  
Vol 18 (1) ◽  
pp. 122-129 ◽  
Author(s):  
Maria Wennberg ◽  
Per E Gustafsson ◽  
Patrik Wennberg ◽  
Anne Hammarström
Keyword(s):  
Metabolic Syndrome ◽  
Central Obesity ◽  
Fasting Glucose ◽  
International Diabetes Federation ◽  
Population Based ◽  
The Metabolic Syndrome ◽  
High Fasting Glucose ◽  
The Relationship ◽  
Metabolic Syndrome Components

AbstractObjectiveTo analyse whether poor breakfast habits in adolescence predict the metabolic syndrome and its components in adulthood. Previous studies suggest that regular breakfast consumption improves metabolic parameters.DesignProspective. Breakfast habits and other lifestyle variables at age 16 years were assessed from questionnaires. Poor breakfast habits were defined as skipping breakfast or only drinking or eating something sweet. At age 43 years, the effective sample consisted of 889 participants defined as having the metabolic syndrome or not, using the International Diabetes Federation criteria. Logistic regression was used to calculate odds ratios and confidence intervals.SettingThe Northern Swedish Cohort, a longitudinal population-based cohort with 27-year follow-up.SubjectsAdolescents (age 16 years).ResultsPrevalence of the metabolic syndrome at age 43 years was 27·0 %. Of the participants, 9·9 % were classified with poor breakfast habits at age 16 years. Adjusted odds for the metabolic syndrome at age 43 years was OR = 1·68 (95 % CI 1·01, 2·78) for those with poor breakfast habits at age 16 years compared with breakfast eaters. Looking at the metabolic syndrome components, poor breakfast habits at age 16 years were associated with central obesity (OR = 1·71; 95 % CI 1·00, 2·92) and high fasting glucose (OR = 1·75; 95 % CI 1·01, 3·02) at age 43 years, even after multivariate adjustments.ConclusionsPoor breakfast habits in adolescence predicted the metabolic syndrome in adulthood. Of the metabolic syndrome components, poor breakfast habits in adolescence predicted central obesity and high fasting glucose in adulthood. Further research is needed to fully understand the relationship between early breakfast habits and adult metabolic syndrome.

scholarly journals Impaired Fasting Glucose in Nondiabetic Range: Is It a Marker of Cardiovascular Risk Factor Clustering?

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Giovanna Valentino ◽  
Verónica Kramer ◽  
Lorena Orellana ◽  
María José Bustamante ◽  
Cinthia Casasbellas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Impaired Fasting Glucose ◽  
Aerobic Capacity ◽  
Fasting Glucose ◽  
Hdl Cholesterol ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Glucose Levels ◽  
Framingham Risk ◽  
And Gender

Background. Impaired fasting glucose (IFG) through the nondiabetic range (100–125 mg/dL) is not considered in the cardiovascular (CV) risk profile. Aim. To compare the clustering of CV risk factors (RFs) in nondiabetic subjects with normal fasting glucose (NFG) and IFG. Material and Methods. Cross-sectional study in 3739 nondiabetic subjects. Demographics, medical history, and CV risk factors were collected and lipid profile, fasting glucose levels (FBG), C-reactive protein (hsCRP), blood pressure (BP), anthropometric measurements, and aerobic capacity were determined. Results. 559 (15%) subjects had IFG: they had a higher mean age, BMI, waist circumference, non-HDL cholesterol, BP, and hsCRP (p<0.0001) and lower HDL (p<0.001) and aerobic capacity (p<0.001). They also had a higher prevalence of hypertension (34% versus 25%; p<0.001), dyslipidemia (79% versus 74%; p<0.001), and obesity (29% versus 16%; p<0.001) and a higher Framingham risk score (8% versus 6%; p<0.001). The probability of presenting 3 or more CV RFs adjusted by age and gender was significantly higher in the top quintile of fasting glucose (≥98 mg/dL; OR = 2.02; 1.62–2.51). Conclusions. IFG in the nondiabetic range is associated with increased cardiovascular RF clustering.

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